Hugging Face's logo

trenden
/
4d9d9dcc-3f68-4cb4-8fae-96dd6af1bdcd

PEFT
Safetensors
gemma
axolotl
Generated from Trainer
Model card Files Community
4d9d9dcc-3f68-4cb4-8fae-96dd6af1bdcd
File size: 3,203 Bytes 
76c2f50
 
 
9fb5966
76c2f50
9fb5966
76c2f50
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
ded2b51
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
43bd299
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
9fb5966
 
 
 
 
 
 
76c2f50
 
 
 
 
 
 
 
 
 
 
 
 
 
9fb5966
76c2f50
 
 
 
9fb5966
76c2f50
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 0.00023673121537805974,
  "eval_steps": 3,
  "global_step": 10,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 2.3673121537805975e-05,
      "grad_norm": 4.070494651794434,
      "learning_rate": 2e-05,
      "loss": 4.5492,
      "step": 1
    },
    {
      "epoch": 2.3673121537805975e-05,
      "eval_loss": 4.50961446762085,
      "eval_runtime": 341.9104,
      "eval_samples_per_second": 52.022,
      "eval_steps_per_second": 26.013,
      "step": 1
    },
    {
      "epoch": 4.734624307561195e-05,
      "grad_norm": 4.397290229797363,
      "learning_rate": 4e-05,
      "loss": 4.7238,
      "step": 2
    },
    {
      "epoch": 7.101936461341793e-05,
      "grad_norm": 4.730429172515869,
      "learning_rate": 6e-05,
      "loss": 4.4912,
      "step": 3
    },
    {
      "epoch": 7.101936461341793e-05,
      "eval_loss": 4.477484226226807,
      "eval_runtime": 335.0046,
      "eval_samples_per_second": 53.095,
      "eval_steps_per_second": 26.549,
      "step": 3
    },
    {
      "epoch": 9.46924861512239e-05,
      "grad_norm": 4.465548038482666,
      "learning_rate": 8e-05,
      "loss": 4.8216,
      "step": 4
    },
    {
      "epoch": 0.00011836560768902987,
      "grad_norm": 4.55939245223999,
      "learning_rate": 0.0001,
      "loss": 4.3881,
      "step": 5
    },
    {
      "epoch": 0.00014203872922683586,
      "grad_norm": 5.568608283996582,
      "learning_rate": 0.00012,
      "loss": 4.6893,
      "step": 6
    },
    {
      "epoch": 0.00014203872922683586,
      "eval_loss": 3.9816391468048096,
      "eval_runtime": 333.254,
      "eval_samples_per_second": 53.374,
      "eval_steps_per_second": 26.688,
      "step": 6
    },
    {
      "epoch": 0.0001657118507646418,
      "grad_norm": 5.301882266998291,
      "learning_rate": 0.00014,
      "loss": 4.0845,
      "step": 7
    },
    {
      "epoch": 0.0001893849723024478,
      "grad_norm": 5.137835502624512,
      "learning_rate": 0.00016,
      "loss": 4.0146,
      "step": 8
    },
    {
      "epoch": 0.00021305809384025378,
      "grad_norm": 6.15079402923584,
      "learning_rate": 0.00018,
      "loss": 3.206,
      "step": 9
    },
    {
      "epoch": 0.00021305809384025378,
      "eval_loss": 3.147989511489868,
      "eval_runtime": 332.2808,
      "eval_samples_per_second": 53.53,
      "eval_steps_per_second": 26.767,
      "step": 9
    },
    {
      "epoch": 0.00023673121537805974,
      "grad_norm": 6.127230167388916,
      "learning_rate": 0.0002,
      "loss": 3.2116,
      "step": 10
    }
  ],
  "logging_steps": 1,
  "max_steps": 10,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 1,
  "save_steps": 3,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 489477793382400.0,
  "train_batch_size": 2,
  "trial_name": null,
  "trial_params": null
}